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Geologic, vegetative and climatic controls on coupled hydrologic processes in a complex river basin: Lessons learned from a fully integrated hydrologic model.

机译:复杂流域水文耦合过程的地质,植物和气候控制:从完全集成的水文模型中学到的经验教训。

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摘要

This dissertation documents the first implementation of an integrated transient 3D surface water-groundwater-land surface process model, ParFlow.CLM, to evaluate the interacting geologic, climatic and vegetative controls on water budget components and streamflow generation processes over the Santa Fe River Basin in North Central Florida. Model predictions indicate that evapotranspiration (ET) is the most important water balance component in the basin comprising 77% of rainfall. Geologic conditions and vegetative properties were found to exert primary control on the spatial variability of streamflow generation processes in the basin through their influence on the balance between rainfall, ET, runoff and infiltration processes. Climatic variability was found to provide primary control on the temporal variability of streamflow generation processes.;Model predictions indicate that in the upper basin more than 95% of streamflow is generated by recent near-stream rainfall. In contrast, in the lower basin the majority of streamflow is contributed by the Upper Floridan Aquifer, with the fraction of subsurface flow averaging approximately 77% at the outlet of basin. A global sensitivity analysis of the model revealed that the permeability of the Intermediate Aquifer System is the most influential factor driving hydrologic response throughout the SFRB. Particle tracking experiments predicted that the median age of streamflow in the upper basin ranges from approximately 1 day at the peak of storm hydrographs to approximately 7 days at the end of stormflow recession, with travel time distributions that vary over time but are generally well-fit with log-normal distributions at the peak of the storm hydrograph. The median age of subsurface contributions to streamflow in the lower portion of the basin was predicted to be approximately 17 years, and the travel time distribution for the subsurface contribution is well-fit by a gamma distribution showing fractal properties that do not vary significantly over time. The fraction of new stormwater versus old groundwater in the streamflow in the unconfined region, and thus the shape of the total streamflow travel time distribution, varies as a function antecedent conditions, storm magnitude, time during the storm, and assumptions regarding the contrast in hydraulic conductivity between high permeability zones and the porous matrix.
机译:这篇论文记录了一个集成的瞬时3D地表水-地下水-土地表面过程模型ParFlow.CLM的首次实现,以评估圣菲河流域内水预算要素和水流产生过程的相互作用的地质,气候和植物控制佛罗里达州中北部。模型预测表明,蒸散量(ET)是流域中最重要的水平衡组成部分,占降雨量的77%。研究发现,地质条件和营养性质通过影响降雨,ET,径流和入渗过程之间的平衡,对流域产生流的空间变化起着主要控制作用。气候变化被发现可以对水流产生过程的时间变化提供主要控制。;模型预测表明,在上流域,超过95%的水流是由最近的近流降雨产生的。相反,在下流域,大部分水流由上佛罗里达水层贡献,在流域出口处,地下流的比例平均约为77%。该模型的整体敏感性分析表明,中间含水层系统的渗透率是驱动整个SFRB中水文响应的最有影响力的因素。粒子跟踪实验预测,上游流域的中位年龄从风暴水位图的高峰期约1天到风暴潮衰退结束时的约7天不等,其传播时间分布随时间变化,但通常很合适在风暴水位图的峰值处具有对数正态分布。预测盆地下部对地下流动的贡献的中位年龄约为17年,并且根据γ分布可以很好地拟合地下贡献的传播时间分布,该分布表明分形特性不会随时间发生显着变化。在不受限制的区域内,新的雨水与旧的地下水在河水中所占的比例,以及总的水流旅行时间分布的形状,会随着先决条件,风暴强度,暴风雨时间以及水力对比的假设而变化。高磁导率区和多孔基质之间的电导率。

著录项

  • 作者

    Srivastava, Vibhava.;

  • 作者单位

    University of Florida.;

  • 授予单位 University of Florida.;
  • 学科 Hydrology.;Engineering Geological.;Water Resource Management.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 207 p.
  • 总页数 207
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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